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Data warehouse

Connect AWS S3 to any app with two-way sync.

Two-way sync AWS S3 across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Object catalog

What Stacksync syncs in AWS S3.

These objects sync between AWS S3 and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where AWS S3 exposes them.

Buckets
Top-level containers a sync targets; region and policy are set at this level.
Objects
The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them.
Prefixes
Key-name paths used to partition synced datasets, since S3 has no real directories.
Object Metadata
System and user-defined metadata read alongside object contents.
Object Versions
Prior copies retained when versioning is enabled, relevant for reprocessing.
Event Notifications
Notifications on object creation or deletion that trigger incremental processing.
Access Points
Scoped network endpoints used to grant a sync narrow access to a bucket.
Multipart Uploads
The mechanism used to write large export files reliably.
API surface

How Stacksync connects to AWS S3.

The connector runs on AWS S3's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Supported
What ships with AWS S3

Connect AWS S3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.

Real-time

Two-way sync

Changes in AWS S3 instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS S3 record.

Observability

Monitoring

Track your AWS S3 sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the AWS S3 connector.

S3 is operated by data engineering and platform teams as the default landing zone of an AWS stack: data lake storage, backups, archives, and the staging layer for analytics services. Its data gravity is high because raw exports, event archives, and partner file drops accumulate there before anything reaches a warehouse. Buyers integrate S3 less as an application and more as the durable file layer other systems read from and write to.

  • Data engineering
  • DevOps / platform engineering
  • Analytics engineering

  1. Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.

  2. Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.

  3. Trigger incremental sync runs from S3 event notifications when new files land in a prefix.

  4. Stage bulk loads for warehouses that ingest from object storage.

  5. Archive change history from ongoing syncs as timestamped files for audit and replay.

  6. Land record exports from a CRM or ERP as Objects under dated Prefixes in a Bucket, ready for downstream lake or warehouse consumption.

All AWS S3 integrations

Pick the system you need to keep in sync with AWS S3. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 46

ERP · 40

Database · 50

Data warehouse · 28

Business productivity · 40

Accounting and finance · 17

How it works

Set up AWS S3 in minutes, without APIs.

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate AWS S3 with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS S3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 objects to sync — Stacksync auto-detects the schema, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS S3
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS S3 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 connector FAQ

What can I sync with the AWS S3 connector?

AWS S3's core objects — Buckets, Objects, Prefixes, Object Metadata and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to AWS S3?

Via REST API (the S3 API), accessed directly or through AWS SDKs, authenticated with AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes. Changes are detected as follows — s3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback. Stacksync manages rate limits, retries, and schema changes automatically.

Is the AWS S3 connector two-way?

Yes. Changes made in AWS S3 propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an AWS S3 integration take to set up?

Most AWS S3 integrations go live in minutes: authenticate AWS S3 and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is AWS S3 data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. AWS S3 data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more
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